|jan 47dd0df8bc fix operator test||1 year ago|
|examples||2 years ago|
|fdfd_tools||1 year ago|
|.gitignore||3 years ago|
|LICENSE.md||3 years ago|
|README.md||3 years ago|
|setup.py||2 years ago|
fdfd_tools is a python package containing utilities for creating and analyzing 2D and 3D finite-difference frequency-domain (FDFD) electromagnetic simulations.
This package does not provide a fast matrix solver, though by default
```scipy.sparse.linalg.qmr(...)``` to perform a solve. For 2D problems this should be fine; likewise, the waveguide mode solver uses scipy's eigenvalue solver, with reasonable results. For solving large (or 3D) problems, I recommend a GPU-based iterative solver, such as [opencl_fdfd](https://mpxd.net/gogs/jan/opencl_fdfd) or those included in [MAGMA](http://icl.cs.utk.edu/magma/index.html)). Your solver will need the ability to solve complex symmetric (non-Hermitian) linear systems, ideally with double precision. ## Installation **Requirements:** * python 3 (written and tested with 3.5) * numpy * scipy Install with pip, via git: ```bash pip install git+https://mpxd.net/gogs/jan/fdfd_tools.git@release
See examples/test.py for some simple examples; you may need additional packages such as gridlock to run the examples.